{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:32:12Z","timestamp":1786977132248,"version":"build-2736575974"},"reference-count":61,"publisher":"Wiley","issue":"17","license":[{"start":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T00:00:00Z","timestamp":1594944000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Mammography use is affected by multiple factors that may change as public health interventions are implemented. We examined two nationally representative, population\u2010based surveys to seek consensus and identify inconsistencies in factors associated with mammography use in the entirety of the US population, and by black and white subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Self\u2010reported mammography use in the past year was extracted for 12\u00a0639 and 169\u00a0116 women aged 40\u201074\u00a0years from the 2016 National Health Interview Survey (NHIS) and the 2016 Behavioral Risk Factor Surveillance System (BRFSS), respectively. We applied a random forest algorithm to identify the risk factors of mammography use and used a subset of them in multivariable survey logistic regressions to examine their associations with mammography use, reporting predictive margins and effect sizes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The weighted prevalence of past year mammography use was comparable across surveys: 54.31% overall, 54.50% in white, and 61.57% in black in NHIS and 53.24% overall, 56.97% in white, and 62.11% in black in BRFSS. Overall, mammography use was positively associated with black race, older age, higher income, and having health insurance, while negatively associated with having three or more children at home and residing in the Western region of the US. Overweight and moderate obesity were significantly associated with increased mammography use among black women (NHIS), while severe obesity was significantly associated with decreased mammography use among white women (BRFSS).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We found higher mammography use among black women than white women, a change in the historical trend. We also identified high parity as a risk factor for mammography use, which suggests a potential subpopulation to target with interventions aimed at increasing mammography use.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.3128","type":"journal-article","created":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T07:40:15Z","timestamp":1594971615000},"page":"6430-6451","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Factors associated with mammography use: A side\u2010by\u2010side comparison of results from two national surveys"],"prefix":"10.1002","volume":"9","author":[{"given":"Lihua","family":"Li","sequence":"first","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Institute for Healthcare Delivery Science Mount Sinai Health System New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayi","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Institute for Healthcare Delivery Science Mount Sinai Health System New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melanie","family":"Besculides","sequence":"additional","affiliation":[{"name":"Institute for Healthcare Delivery Science Mount Sinai Health System New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina","family":"Bickell","sequence":"additional","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurie R.","family":"Margolies","sequence":"additional","affiliation":[{"name":"Department of Diagnostic, Molecular and Interventional Radiology Icahn School of Medicine at Mount Sinai New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina","family":"Jandorf","sequence":"additional","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emanuela","family":"Taioli","sequence":"additional","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Institute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madhu","family":"Mazumdar","sequence":"additional","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Institute for Healthcare Delivery Science Mount Sinai Health System New York NY USA"},{"name":"Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9166-693X","authenticated-orcid":false,"given":"Bian","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York NY USA"},{"name":"Institute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,7,17]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.293.10.1245"},{"key":"e_1_2_11_3_1","unstructured":"Institute National Cancer.Cancer Stat Facts: Female Breast Cancer.https:\/\/seer.cancer.gov\/statfacts\/html\/breast.html. 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